Triple
T13977939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio Ga Ga |
E336233
|
entity |
| Predicate | performerDrums |
P12601
|
FINISHED |
| Object | Roger Taylor |
E512532
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Roger Taylor | Statement: [Radio Ga Ga, performerDrums, Roger Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Taylor Context triple: [Radio Ga Ga, performerDrums, Roger Taylor]
-
A.
Roger Taylor
Roger Taylor is an English drummer best known as a founding member of the new wave band Duran Duran.
-
B.
Roger Taylor
chosen
Roger Taylor is an English musician best known as the drummer and a songwriter for the rock band Queen.
-
C.
Art Taylor
Art Taylor was an American jazz drummer renowned for his work in the hard bop era, performing and recording with many leading musicians of the 1950s and 1960s.
-
D.
Mick Avory
Mick Avory is an English rock drummer best known as the longtime drummer for the influential British band The Kinks during their classic 1960s and 1970s period.
-
E.
Charles Watts
Charles Watts was an American character actor known for his supporting roles in mid-20th-century film and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e9fc7248190a9f26e253286ac3c |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192d09e481909ba3b7522cf661a6 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:18 p.m.